Enterprise Tech Architect

5 days ago

Vancouver, British Columbia, Canada Lumenalta Full time

Lumenalta is a software solutions company that creates impactful technologies to drive innovation and transform businesses.

About Lumenalta

We are seeking an experienced Enterprise Tech Architect to join our elite team. As a key member of our organization, you will be responsible for designing and implementing scalable, high-performance solutions to tackle complex data challenges in various industries.

Your primary responsibility will be to architect end-to-end data solutions using Databricks, Azure, AWS, and other cloud-based services to meet client requirements. You will also lead the design and implementation of data platforms, define best practices, and mentor team members to elevate technical competencies within the organization.

You will have the opportunity to work closely with clients to understand their business needs, present architectural solutions, and implement strategies that deliver high-impact results. Additionally, you will identify bottlenecks and recommend solutions to optimize data workflows and architecture for both cost and performance.

To succeed in this role, you will need 10+ years of experience in a senior data engineering or solutions architect role, with a strong focus on Databricks, Azure, or AWS cloud ecosystems. You should have a proven track record of designing and implementing data architectures that support large-scale data pipelines and analytics.

The ideal candidate will possess extensive experience in creating ETL pipelines from scratch, handling large datasets, and developing solutions that align with business goals. Industry experience in financial services, logistics, or other complex domains is highly desirable. Fluency in verbal and written English, with the ability to communicate complex technical concepts to non-technical stakeholders, is also essential.

Key Responsibilities:
  • Solutions Design: Architect end-to-end scalable data solutions using Databricks, Azure, AWS, and other cloud-based services to meet client requirements.
  • Data Strategy & Architecture: Develop robust data architectures, implement ETL pipelines, and establish data governance frameworks to ensure data accuracy and consistency.
  • Technical Leadership: Lead the design and implementation of data platforms, define best practices, and mentor team members to elevate technical competencies within the organization.
  • Advanced Analytics & Machine Learning: Create pipelines and workflows to support advanced analytics and machine learning initiatives, utilizing Databricks and other cloud-based services.
  • Collaboration & Client Engagement: Act as a trusted advisor, working closely with client stakeholders to understand business needs, present architectural solutions, and implement strategies that deliver high-impact results.
  • Performance Optimization: Identify bottlenecks and recommend solutions to optimize data workflows and architecture for both cost and performance.
Requirements
  • 10+ years of experience in a senior data engineering or solutions architect role, with a strong focus on Databricks, Azure, or AWS cloud ecosystems.
  • Proven track record of designing and implementing data architectures that support large-scale data pipelines and analytics.
  • Strong proficiency in Python, PySpark, and SQL for data processing and manipulation.
  • Extensive experience in creating ETL pipelines from scratch, handling large datasets, and developing solutions that align with business goals.
  • Industry experience in financial services, logistics, or other complex domains is highly desirable.
  • Fluency in verbal and written English, with the ability to communicate complex technical concepts to non-technical stakeholders.

We are looking for a talented individual who can thrive in a fast-paced, collaborative environment. If you have a passion for data architecture and a desire to make a meaningful impact, we encourage you to apply for this exciting opportunity.

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